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Here you can browse the complete list of publications for NLST

Publication Year
Results: 330 (Showing 1 to 20)
Title PubMed Authors Journal Year Studies
Comparing Lung Cancer Screening Strategies in a Nationally Representative US Population Using Transportability Methods for the National Lung Cancer Screening Trial. 38289605 Robertson SE, Joyce NR, Steingrimsson JA, Stuart EA, Aberle DR, Gatsonis CA, Dahabreh IJ JAMA Netw Open 2024 NLST
Long-term Survival After Lung Cancer Resection in the National Lung Screening Trial. 38216080 Potter AL, Senthil P, Keshwani A, McCleery S, Haridas C, Kumar A, Mathey-Andrews C, Martin LW, Yang CJ Ann Thorac Surg 2024 NLST
Enrichment of lung cancer computed tomography collections with AI-derived annotations. 38177130 Krishnaswamy D, Bontempi D, Thiriveedhi VK, Punzo D, Clunie D, Bridge CP, Aerts HJWL, Kikinis R, Fedorov A Sci Data 2024 NLST
Penalized deep partially linear cox models with application to CT scans of lung cancer patients. 38412302 Sun Y, Kang J, Haridas C, Mayne N, Potter A, Yang CF, Christiani DC, Li Y Biometrics 2024 NLST
Association of Lung Cancer Risk With the Presence of Both Lung Nodules and Emphysema in a Lung Cancer Screening Trial. 38545483 Liu Y, Feng ZW, Liu XM, Duan HY, Lyu ZY, Huang YB, Song FF, Song FJ World J Oncol 2024 NLST
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks. 38530135 Krishnan AR, Xu K, Li TZ, Remedios LW, Sandler KL, Maldonado F, Landman BA Med Phys 2024 NLST
Projecting the impact of multi-cancer early detection on late-stage incidence using multi-state disease modeling. 38506751 Lange JM, Gogebakan KC, Gulati R, Etzioni R Cancer Epidemiol Biomarkers Prev 2024 NLST
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers. 38480863 Foldyna B, Hadzic I, Zeleznik R, Langenbach MC, Raghu VK, Mayrhofer T, Lu MT, Aerts HJWL Commun Med (Lond) 2024 NLST
Personalised follow-up and management schema for patients with screen-detected pulmonary nodules: A dynamic modelling study. 38614860 Wang Z, Xue F, Sui X, Han W, Song W, Jiang J Pulmonology 2024 NLST
A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules. 38777719 Liu J, Qi L, Xu Q, Chen J, Cui S, Li F, Wang Y, Cheng S, Tan W, Zhou Z, Wang J Acad Radiol 2024 NLST
Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening. 38752718 Wang Y, Zhou C, Ying L, Lee E, Chan HP, Chughtai A, Hadjiiski LM, Kazerooni EA Radiol Cardiothorac Imaging 2024 NLST
Cloud-based large-scale curation of medical imaging data using AI segmentation. 38746269 Thiriveedhi VK, Krishnaswamy D, Clunie D, Pieper S, Kikinis R, Fedorov A Res Sq 2024 NLST
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. 38729092 Hermoza R, Nascimento JC, Carneiro G Comput Med Imaging Graph 2024 NLST
OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. 36701900 Pan Z, Zhang R, Shen S, Lin Y, Zhang L, Wang X, Ye Q, Wang X, Chen J, Zhao Y, Christiani DC, Li Y, Chen F, Wei Y EBioMedicine 2023 NLST, PLCO
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. 36634294 Mikhael PG, Wohlwend J, Yala A, Karstens L, Xiang J, Takigami AK, Bourgouin PP, Chan P, Mrah S, Amayri W, Juan YH, Yang CT, Wan YL, Lin G, Sequist LV, Fintelmann FJ, Barzilay R J Clin Oncol 2023 NLST
Updated cost-effectiveness analysis of lung cancer screening for Australia, capturing differences in the health economic impact of NELSON and NLST outcomes. 36323879 Behar Harpaz S, Weber MF, Wade S, Ngo PJ, Vaneckova P, Sarich PEA, Cressman S, Tammemagi MC, Fong K, Marshall H, McWilliams A, Zalcberg JR, Caruana M, Canfell K Br J Cancer 2023 NLST
GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. 36841107 Liu P, Ji L, Ye F, Fu B Comput Methods Programs Biomed 2023 NLST
Risk Model-Based Lung Cancer Screening : A Cost-Effectiveness Analysis. 36745885 Toumazis I, Cao P, de Nijs K, Bastani M, Munshi V, Hemmati M, Ten Haaf K, Jeon J, Tammem├Ągi M, Gazelle GS, Feuer EJ, Kong CY, Meza R, de Koning HJ, Plevritis SK, Han SS Ann Intern Med 2023 NLST
An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification. 36463674 Huang YS, Wang TC, Huang SZ, Zhang J, Chen HM, Chang YC, Chang RF Comput Methods Programs Biomed 2023 NLST
Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals. 36929398 Landy R, Wang VL, Baldwin DR, Pinsky PF, Cheung LC, Castle PE, Skarzynski M, Robbins HA, Katki HA JAMA Netw Open 2023 NLST